The course descriptions or the necessary material are linked to the course titles in the following list and schedule. Courses are scheduled for the time between 9 AM and 4 PM. Each course is expected to last 1.5 hours, with 5 sessions. Instructors may use more or less time for individual sessions.
Schedule
- Meeting on the 22nd of August at around 7 PM in a cafe at the square “pet bunara” on the peninsula. A detailed message on that will go out via the Google group, and it will be also placed on these pages.
- Registration and start of courses: Monday 23rd of August at 8 AM in the main University building (peninsula, at the sea side), 3rd floor at room 146.
Course schedule as: PDF, Excel, Numbers
Course schedule: 23rd-27th of August
9:00-10:30
- Room Info 1: Helen Aristar Dry & Anthony Aristar “Standards for the digital representation of language data and interoperation”
- Room 143: Reinhard Blutner “Language and Optimality”
- Room Info 1: Tomaž Erjavec “Introduction to the text encoding initiative guidelines”
- Room 143: Ralf Klabunde “Comparing methods in natural language generation and cognitive processes in language in language production”
- Room Info 1: Peter beim Graben “Dynamic cognitive Modeling”
- Room 143: Markus Kracht “Model-theoretic syntax, modal logic and semi-structured data”
Course schedule: 30th of August - 3rd of September
9:00-10:30 Room Info 1: Davor Petrinović & Branimir Dropuljić “Introduction to speech recognition”
10:35-12:05 Room 143: László Kálmán “Analogy in theoretical and computational linguistics”
Lunch break
14:00-15:30 Room 143: Gerhard Jäger “Quantitative typology: a practical introduction into data exploration and visualization using R”
15:40-17:10 Room 143: Damir Ćavar “Quantitative and qualitative computational analysis of language and text similarities, clustering and classification”
17:15-18:45 Room 143: Thomas Hanneforth “Introduction to weighted finite-state automata”
Courses
The courses will cover the domains of language resources (digitalization, annotation, standards & technologies), grammar induction and machine learning related to languages and linguistics, quantitative linguistic analysis, cognitive models of language related faculties, computation related to text and language processing. The program covers the following courses (in random order):
- Standards for the Digital Representation of Language Data and Interoperation, Helen Aristar Dry & Anthony Aristar (Eastern Michigan University, The LINGUIST List)
- Introduction to the Text Encoding Initiative Guidelines, Tomaž Erjavec, (Dept. of Knowledge Technologies, Jožef Stefan Institute)
- Comparing methods in natural language generation and cognitive processes in language production, Ralf Klabunde (University of Bochum, Linguistics Dept.)
- Quantitative typology: A practical introduction into data exploration and visualization using R, Gerhard Jäger (University of Tübingen, Dept. of Linguistics)
- Dynamic Cognitive Modeling, Peter beim Graben (Humboldt University, Berlin)
- Language and Optimality, Reinhard Blutner (University of Amsterdam, Institute for Logic, Language and Computation)
- Quantitative and qualitative computational analysis of language and text similarities, clustering and classification, Damir Ćavar (University of Zadar, Linguistics Dept.)
- Analogy in Theoretical and Computational Linguistics, László Kálmán (Dept. of Theoretical Linguistics, Loránd Eötvös University & Research Institute for Linguistics, Hungarian Academy of Sciences)
- Grammatical inference: learning automata and grammars, Colin de la Higuera (Nantes University, Laboratoire d'Informatique)
- Introduction to Speech Recognition, Davor Petrinović (University of Zagreb, Faculty of Electrical Engineering and Computing)
- Introduction to weighted finite-state automata, Thomas Hanneforth (University of Potsdam, Linguistics Dept.)
- Modeltheoretic Syntax, Modal Logic and Semistructured Data, Marcus Kracht (University of Bielefeld, Arbeitsbereich Texttechnologie und Computerlinguistik)